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采用三柱周期逆流色谱连续捕获法进行工艺开发和优化。

Process development and optimization of continuous capture with three-column periodic counter-current chromatography.

机构信息

Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, China.

Shanghai Engineering Research Center of Anti-tumor Biological Drugs, Shanghai Henlius Biotech, Inc., Shanghai, China.

出版信息

Biotechnol Bioeng. 2021 Sep;118(9):3313-3322. doi: 10.1002/bit.27689. Epub 2021 Feb 2.

Abstract

Continuous capture with affinity chromatography is one of the most important units for continuous manufacturing of monoclonal antibody (mAb). Due to the complexity of three-column periodic counter-current chromatography (3C-PCC), three approaches (experimental, model-based, and simplified approaches) were studied for process development and optimization. The effects of residence time for interconnected load (RT ), breakthrough percentage of the first column for interconnected load (s) and feed protein concentration (c ) on productivity and capacity utilization were focused. The model-based approach was found superior to the experimental approach in process optimization and evaluation. Two phases of productivity were observed and the optimal RT for the maximum productivity was located at the boundary of the two phases. The comprehensive effects of the operating parameters (RT , s, and c ) were evaluated by the model-based approach, and the operation space was predicted. The best performance of 34.5 g/L/h productivity and 97.6% capacity utilization were attained for MabSelect SuRe LX resin under 5 g/L concentration at RT  = 2.8 min and s = 87.5%. Moreover, a simplified approach was suggested to obtain the optimal RT for the maximum productivity. The results demonstrated that model-assisted tools are useful to determine the optimum conditions for 3C-PCC continuous capture with high productivity and capacity utilization.

摘要

亲和层析连续捕获是单克隆抗体 (mAb) 连续制造的最重要单元之一。由于三柱周期逆流色谱 (3C-PCC) 的复杂性,针对工艺开发和优化研究了三种方法(实验方法、基于模型的方法和简化方法)。重点研究了互连成套负载的停留时间 (RT)、互连成套负载的第一柱穿透率 (s) 和进料蛋白浓度 (c) 对生产力和产能利用率的影响。结果发现,基于模型的方法在工艺优化和评估方面优于实验方法。观察到生产力的两个阶段,最大生产力的最佳 RT 位于两个阶段的边界处。通过基于模型的方法评估了操作参数 (RT、s 和 c) 的综合影响,并预测了操作空间。在 RT 为 2.8 分钟且 s 为 87.5%时,MabSelect SuRe LX 树脂在 5 g/L 浓度下的最佳性能为 34.5 g/L/h 的生产力和 97.6%的产能利用率。此外,还提出了一种简化方法来获得最大生产力的最佳 RT。结果表明,模型辅助工具可用于确定具有高生产力和产能利用率的 3C-PCC 连续捕获的最佳条件。

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